Leak Detection and Repair (LDAR) programs are inherently risky, labor intensive and costly. Even minor errors in identifying, tagging and monitoring potential leak points throughout a facility can result in non-compliance and heavy fines. Reduce compliance risk with an enterprise data management solution designed to streamline the collection, administration and reporting of fugitive emission monitoring data.
Securely gathers, stores, and organizes the data necessary in fugitive emissions calculations, including data that:
Uses consistent methodologies to calculate required results, including:
Produces outputs in formats such as:
| Benefits | Features | ||
| Assures Quick and Accurate Compliance Reporting | The software comes standard with the ability to calculate emissions for each chemical or section of the plant over any desired time period. Calculation methods include SOCMI, average, leak/no leak and correlation. Site correlation data can also be used to ensure the most accurate emission calculations. Producing regulatory reports is simple. Formats for most required federal and state reports are already built in. | ||
| Minimizes Costs | Requires no manual data entry and eliminates paper trails. | ||
| Automates Data Collection | ESS' Smart System is designed to automatically identify the monitoring frequency for a component based on the regulations defined for the component and the performance history of the component. The system sets the strictest monitoring frequency of all the applicable regulations, so accurate and effective monitoring runs can be planned and scheduled. Built-in serial communications support also enables Essential FEMS to communicate with popular dataloggers such as the LeakTracker™, for automated, seamless and accurate transfer of data. | ||
| Optimizes Performance | User-defined monitoring groups also allow users to easily schedule component monitoring runs to meet specific operational needs. Optimize performance data management tools including re-routing of tags, monitoring and tag browse lists. | ||